The thesis
The asset is human capital itself: the revenue that people generate.
A power law
Ranked largest to smallest, that revenue does not taper: it collapses onto a few names. A small number produce most of it; the rest run low and close together. That concentration is the asset, and it is structural to human capital, not incidental. The shape is modeled here as a power law in rank,
where is the revenue of the -th name by rank, and the exponent sets how heavy the tail is.
The shape is the asset. On this curve there is no typical name: the top does not stand a little above the rest. It stands above it by orders of magnitude. That gap is not noise to be averaged away; it is the surplus, and it is what a structure holding the whole curve is built to capture.
The single name is a gamble
Held one name at a time, exposure is to a single draw from that distribution.
Most draws land in the low, crowded tail; the surplus sits in a few places no one can mark in advance.
A single position is therefore a bet on identifying the outlier, and the outlier cannot be identified in advance.
The book is an asset
Held as a book of many names, the same distribution becomes an asset.
The few high outcomes are captured because the book holds them all; the many low outcomes are absorbed because no single one carries the result.
What was variance in one name becomes structure across the book.
The tail index governs the regime
A power law is not one distribution but a family, indexed by how heavy its tail is. Let be the tail index of the revenue distribution,
The index decides which moments exist, and therefore what diversification can and cannot do:1
- : the mean and the variance are both finite. The book's average behaves classically: it concentrates on the true mean, and its dispersion falls with scale.
- : the mean is finite but the variance is not. The average still settles on the mean, but more slowly, and a single name can dominate a cycle.
- : the mean itself is undefined. No amount of diversification stabilizes the average; the largest name in the book carries it.
A heavier tail is the source of the surplus and the source of the fragility at once. The structure is built to hold the asset across the realistic span of , not to assume the benign end of it.
Diversification is necessary, not sufficient
In the finite-variance regime, the book's realized mean tightens with scale. The formal statement is in How loss is borne.
Outside it, diversification still helps but does not close the gap: dispersion falls more slowly than the square root of the count, and a single outsized name can still swing a cycle. Holding more names lowers the odds that any one breaks the book; it does not make the book self-insuring.
The structure therefore does not rest the senior tier on convergence alone. The baseline it pays is held first by realized revenue, then by the monetization partner's contractual support, then by the Protocol Reserve, a defined order of support, so the floor does not depend on any single source holding.
Scale narrows the band; the support order holds the floor. The protection is structural, not statistical, set out in How loss is borne and Economics.
Captured by scale, not selection
The outlier cannot be named in advance, so it is captured by scale, not selection.
Each name funded raises the odds of holding one, and steadies the whole.
As the book grows, the spread of realized return narrows where the tail permits, while the expected return holds; where the tail is heavy, the floor rests on the support order rather than on the statistics.
Capital is the lever. It is the one input that converts the distribution from a gamble into a held position, the difference between betting on the curve and owning it. The asset class is vast and unmarketed; the structure is what makes its upside holdable, and capital is what realizes it.
Footnotes
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The rank exponent and the tail index describe the same law from two angles; for a rank-size law the distributional tail index is . Finite mean requires ; finite variance requires . ↩